Papers
1
Total Citations
5
H-Index
1
About
Wu Lv is a researcher whose work lies at the intersection of rehabilitation engineering and human-computer interaction, with a particular focus on stroke recovery. His most-cited study, "A sensor-based virtual piano biofeedback system for stroke rehabilitation" (2014, 5 citations), addresses a critical global health challenge: approximately 15 million people suffer a stroke annually, often experiencing reduced mobility and diminished emotional wellbeing. Lv’s key contribution is the development of an innovative virtual piano system that uses sensor-based biofeedback to transform traditional, clinic-bound rehabilitation into an engaging, home-based therapy. By gamifying motor recovery, his work helps patients regain hand and arm function while also improving fitness and emotional health. Though his citation count is modest, the practical, patient-centered nature of his research highlights its potential for real-world impact, particularly in making rehabilitation more accessible and motivating. Lv’s approach exemplifies how technology can bridge the gap between clinical care and daily life, offering a creative, low-cost solution to a pervasive medical problem. His work is especially relevant for researchers and students interested in assistive technologies, neurorehabilitation, and the design of interactive systems for healthcare.
Research Focus
Key Achievements
Top Papers
- 1